Staff Applied Scientist

Posted Yesterday
Be an Early Applicant
London, Greater London, England
Hybrid
Senior level
Artificial Intelligence • Software
The Role
The Staff Applied Scientist will drive the design and execution of high-impact research in neurosymbolic AI, converting research into practical applications in language generation. Responsibilities include software development, collaboration with teams, mentorship, and experimentation with datasets.
Summary Generated by Built In

At Unlikely AI, we're seeking a visionary Staff Applied Scientist to help lead the charge in technical leadership within the Applied Science team and across the company. Your work will be at the forefront of scientific discovery, guiding projects from literature to POC to production, spanning the entire lifecycle of a project, and harnessing the latest advancements in Machine Learning. This is an IC role with mentoring & coaching responsibilities to effectively upskill team members.


The main areas of focus will be in neurosymbolic AI, complex reasoning and planning for fully explainable AI systems. 


Why Join Us?

Team - We have a world-class team of intelligent, focused, collaborative people. We're ambitious, move fast and have a lot of fun while doing it.


Vision - We have a huge vision for the future. This offers a unique opportunity to work on the foundational layers of AI but, unlike many other companies, we're not just scaling LLMs, we're focused on a novel neurosymbolic approach.


Tech - You'll work with our novel and cutting-edge tech. Driving this forward involves solving some exciting challenges, so our team has the freedom to be creative and explore innovative ideas in an environment where our technology is evolving and maturing.


What You’ll Do:

Convert cutting-edge research in neurosymbolic AI and transform it into tangible, impactful language generation products.

Design, build, and experiment with hybrid neurosymbolic systems to push the boundaries of what’s possible in language generation.

Lead Research Projects: Drive the design, development, and execution of high-impact scientific research projects.

Code for Impact: Write robust software, integrating neural and symbolic components for deployment in real-world production systems.

Collaborate & Communicate alongside a team of brilliant minds, articulating complex solutions with clarity and precision.

Analyse & inspect large scale datasets for both neural training and symbolic extraction.


Required:

Deep learning expertise to include 6+ years of hands-on experience in deep learning and 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation.

Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models.

Deep knowledge of machine learning fundamentals and cloud experience.

Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with.

Excellent verbal and written communication skills with a proven track record of mentoring and coaching others.

Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders.


Desirable:

Use of Python libraries that encourage best practices such as pytest, pylint, black etc.

Experience with symbolic reasoning engines and integration with neural networks.

Strong technical writing skills as evidenced by relevant publications or blogs.

Start-up experience.

Proficiency working with cloud platforms for deploying hybrid AI systems.


Please see our Company Principles to understand the core things we value – in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact.


Location:

We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom.


Compensation:

Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid.


Equal Opportunities:

We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.

Top Skills

Python
The Company
London
50 Employees
On-site Workplace
Year Founded: 2018

What We Do

We are pioneering safe, trustworthy and powerful artificial intelligence. Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. Based in London, we were founded by William Tunstall-Pedoe, best known for his role in creating Alexa after Amazon acquired his first startup

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